Method and system for grouping devices in a same space for cross-device marketing

Abstract

The present disclosure provides a method for grouping devices in a same place. A plurality of devices may be connected to a server. The devices may be classified two types based on mobility, including a stable device type and a mobile device type. One or more neighborhood devices associated with at least one stable device may be identified based on status information of the plurality of devices. The at least one stable device and the one or more neighborhood devices may respectively record an audio sample at a set time. A similarity score between the audio sample of the one or more neighborhood devices and the audio sample of the at least one stable device may be calculated. Further, one or more devices among the one or more neighborhood devices may be determined as in a same space as the at least one stable device based on the similarity score.

Description

FIELD OF THE DISCLOSURE[0001]The present disclosure relates to the field of information technologies and, more particularly, relates to a method and system for grouping devices in a same space for cross-device marketing.BACKGROUND[0002]With fast growing Internet of Things (IoT), many devices in the living rooms are turned into connected devices (e.g., TVs, refrigerators, air conditionings, Digital Frames, and so on). With the massive deployment of mobile devices (e.g., tables, smartphones, smart watches, and so on), nowadays the human living spaces become “smart living rooms” with many smart (or connected) devices preforming different functions. As a consequence, cross-device marketing has become a big opportunity for service or advertisement (ad) providers.[0003]However, how to deliver the right service (or ad) to the right user across all devices surrounding him / her has become a new challenge. Specifically, automatically grouping devices in the living room are challenging, because...

AI Technical Summary

Benefits of technology

The present invention provides a method for identifying devices in the same location based on their mobility and the status information of other devices. A server connects to multiple devices and sends a control request to them to record an audio sample at a set time. The server calculates a similarity score between the audio sample of the devices and identifies any devices within a same space as the original device based on this score. The technical effect of this invention is the ability to accurately identify devices in the same space using audio samples collected from multiple devices.

Problems solved by technology

However, how to deliver the right service (or ad) to the right user across all devices surrounding him / her has become a new challenge.

Specifically, automatically grouping devices in the living room are challenging, because the devices are made by various manufacturers and the mobility nature of some devices makes the grouping only temporary.

However, this grouping method is very unreliable as many devices not appearing in the living room (may be in rooms upstairs) may use the same WiFi.

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